- Company Name
- QuantCube Technology
- Job Title
- Intern Data Scientist for Macroeconomic Applications
- Job Description
-
**Job Title:** Intern Data Scientist – Macroeconomic Applications
**Role Summary:**
Support the design and production of alternative macro‑economic indicators using high‑frequency, real‑time data. Work on end‑to‑end big‑data projects that combine structured and unstructured sources to model employment, consumption, and economic growth across developed and emerging markets.
**Expactations:**
- Apply advanced Python programming (including OOP) to data engineering and modeling tasks.
- Demonstrate strong analytical ability in time‑series, statistical learning, and machine‑learning methods.
- Communicate findings in both French and English; additional language skills are a plus.
**Key Responsibilities:**
1. Participate in big‑data projects employing massive data engineering, statistical learning, and time‑series analysis.
2. Build pipelines for data ingestion, preprocessing, and modeling of alternative economic measures.
3. Develop and validate models (e.g., SARIMA, VAR, ARCH, Bayesian, state‑space, classification, regression, clustering, random forests, boosting, SVM).
4. Assess data source quality, explore new use cases, and propose innovative indicator concepts.
5. Interpret indicator behavior and analyze driving factors.
6. Collaborate with IT, investment strategy, and data‑science teams.
**Required Skills:**
- Advanced Python programming, object‑oriented design.
- Proficiency in time‑series modeling (SARIMA, VAR, ARCH, etc.) and familiarity with Bayesian/state‑space approaches.
- Strong machine‑learning knowledge for classification and regression (linear models, clustering, ensemble methods, SVM).
- Solid foundation in mathematics, probability, and statistics.
- Ability to quickly learn new technical domains.
- Fluent in French and English (written and spoken).
**Required Education & Certifications:**
- Currently enrolled in or recently completed a Master's or PhD program in Data Science, Statistics, Economics, Computer Science, Applied Mathematics, or a related quantitative field.
- No specific certifications required, though coursework or certifications in machine learning, time‑series analysis, or big‑data technologies are advantageous.